AI Newsletter

This week’s signal clusters on new flagship APIs, open models you can self-host, and regulatory runway that affects SMB procurement more than benchmark tweets.

Models & APIs

Anthropic shipped Claude Opus 4.7 with stronger long-horizon software work, higher-resolution vision, and broad cloud availability (Bedrock, Vertex AI, Microsoft Foundry)—useful if you are standardizing on one “top tier” API for agents. Anthropic announcement

Open weights & cost control

Google DeepMind’s Gemma 4 line doubles down on Apache-2.0 models you can run from edge to rack, with structured outputs aimed at tool-using agents—worth testing against your own retrieval + action loops before you assume API-only is cheaper at your volumes. DeepMind blog · Google developer write-up

Policy & SMB practice

EU-facing teams should treat AI Act conformity timelines as a 2026 program, not a slide: inventory systems, classify risk, and budget documentation and human oversight the same way you would SOC2 prep. Compliance primer

How to use this week

• If you are API-first: validate Opus-class agents on your hardest internal tickets before widening scope.
• If you are cost-sensitive: benchmark Gemma-class locally on your heaviest RAG traces; compare $/token vs $/GPU-hour honestly.
• If you sell into the EU: tie roadmap items to conformity artifacts (risk logs, model cards, release reviews) so sales isn’t promising what engineering can’t evidence.

This week’s signal clusters on new flagship APIs, open models you can self-host, and regulatory runway that affects SMB procurement more than benchmark tweets.

Models & APIs

Anthropic shipped Claude Opus 4.7 with stronger long-horizon software work, higher-resolution vision, and broad cloud availability (Bedrock, Vertex AI, Microsoft Foundry)—useful if you are standardizing on one “top tier” API for agents. Anthropic announcement

Open weights & cost control

Google DeepMind’s Gemma 4 line doubles down on Apache-2.0 models you can run from edge to rack, with structured outputs aimed at tool-using agents—worth testing against your own retrieval + action loops before you assume API-only is cheaper at your volumes. DeepMind blog · Google developer write-up

Policy & SMB practice

EU-facing teams should treat AI Act conformity timelines as a 2026 program, not a slide: inventory systems, classify risk, and budget documentation and human oversight the same way you would SOC2 prep. Compliance primer

How to use this week

• If you are API-first: validate Opus-class agents on your hardest internal tickets before widening scope.
• If you are cost-sensitive: benchmark Gemma-class locally on your heaviest RAG traces; compare $/token vs $/GPU-hour honestly.
• If you sell into the EU: tie roadmap items to conformity artifacts (risk logs, model cards, release reviews) so sales isn’t promising what engineering can’t evidence.

This is an automated publish script smoke test for Kent SMB / ChangeCrab.

Models

• Gemma 4 — DeepMind blog

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• Gemma 4